I am an assistant professor in the College of Information Studies (iSchool) at the University of Maryland. I am also a member of the Human-Computer Interaction Lab (HCIL).
My research goal is to build technologies that address real-world problems by integrating data-driven methods and human-computer interaction. I am interested in investigating human needs and challenges that may benefit from advancements in artificial intelligence. My focus is both in building new models to address these challenges and in designing evaluation methodologies that assess their impact. Typically my research involves application of machine learning and analytics research to benefit people with disabilities, especially assistive technologies that model human communication and behavior such as sign language avatars and independent mobility for the blind.
People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges.
Best Paper Honorable Mention
Regression Analysis of Demographic and Technology Experience Factors Influencing Acceptance of Sign Language Animation.
Supporting Orientation of People with Visual Impairment: Analysis of Large Scale Usage Data.
Best Paper Finalist
Selecting Exemplar Recordings of American Sign Language Non-Manual Expressions for Animation Synthesis Based on Manual Sign Timing.
Centroid-Based Exemplar Selection of ASL Non-Manual Expressions using Multidimensional Dynamic Time Warping and MPEG4 Features.
Eyetracking Metrics Related to Subjective Assessments of ASL Animations
Data-Driven Synthesis and Evaluation of Syntactic Facial Expressions in American Sign Language Animation.